12 часов назад
Technical Product Manager (Enterprise Data & AI)
108 000 - 183 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Technical Product Manager (Enterprise Data & AI): Building and scaling shared enterprise data, AI/ML, and generative AI platforms with an accent on secure data products, MLOps, and agentic AI orchestration. Focus on translating platform strategy into reusable capabilities, moving AI use cases from proof of concept to production, and improving adoption and developer experience.
Location: Milpitas, California, United States; onsite at the Milpitas office
Salary: $108,000–$183,600 per year
Company
develops Flash memory and advanced memory technology solutions for digital products, businesses, and global supply chains.
What you will do
- Execute the enterprise data and AI platform roadmap, translating business and technical strategy into prioritized product features.
- Support development of data lakehouse capabilities, enterprise data products, semantic layers, governed data access, and AI/ML platforms.
- Enable generative AI and agentic workflows, including LLM-powered applications, reusable AI services, and agent orchestration with frameworks such as LangGraph.
- Drive enterprise AI use cases from proof of concept to production and reusable platform assets while tracking adoption and business impact.
- Collaborate with engineering, data science, architecture, InfoSec, legal, procurement, and business stakeholders on secure, scalable, production-ready solutions.
- Own product requirements, backlogs, user stories, release plans, and delivery milestones using Jira, Confluence, Figma, and Agile practices.
Requirements
- 5–10 years of experience in product management or technical product roles.
- Experience with data platforms, AI/ML systems, or developer platforms.
- Strong knowledge of modern data architectures, including lakehouses, pipelines, semantic layers, LLMs, agents, and agentic AI orchestration.
- Familiarity with LangGraph or similar AI agent orchestration frameworks, as well as Jira, Confluence, and product/design collaboration tools.
- Strong cross-functional collaboration and communication skills.
- Ability to work onsite at the Milpitas office in California.
Nice to have
- Python experience for data and AI workflows or prototyping.
- Experience with Databricks, Spark, Kafka, MLOps, LLMOps, and scaling generative or agentic AI solutions from pilot to production.
- Experience in enterprise or regulated environments and familiarity with Figma or similar UX tools.
- Background in semiconductor, manufacturing, or supply chain domains.
Culture & Benefits
- Paid vacation and sick leave.
- Medical, dental, vision, life, accident, and disability insurance.
- Flexible spending and health savings accounts, employee assistance, and voluntary benefit programs.
- Tuition reimbursement, transit benefits, employee stock purchase plan, and 401(k) savings plan.
- Potential eligibility for short-term incentives, long-term incentives, and restricted stock units.
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